Unraveling Radiomics Complexity: Strategies for Optimal Simplicity in Predictive Modeling

no code implementations • 5 Jul 2024 • Mahdi Ait Lhaj Loutfi, Teodora Boblea Podasca, Alex Zwanenburg, Taman Upadhaya, Jorge Barrios, David R. Raleigh, William C. Chen, Dante P. I. Capaldi, Hong Zheng, Olivier Gevaert, Jing Wu, Alvin C. Silva, Paul J. Zhang, Harrison X. Bai, Jan Seuntjens, Steffen Löck, Patrick O. Richard, Olivier Morin, Caroline Reinhold, Martin Lepage, Martin Vallières

Purpose: Develop a methodology and tools to identify and explain the smallest set of predictive radiomic features.

Standardised convolutional filtering for radiomics

1 code implementation • 9 Jun 2020 • Adrien Depeursinge, Vincent Andrearczyk, Philip Whybra, Joost van Griethuysen, Henning Müller, Roger Schaer, Martin Vallières, Alex Zwanenburg

Here we present a complete version of a reference manual on the use of convolutional filters in radiomics and quantitative image analysis.

Assessing robustness of radiomic features by image perturbation

no code implementations • 18 Jun 2018 • Alex Zwanenburg, Stefan Leger, Linda Agolli, Karoline Pilz, Esther G. C. Troost, Christian Richter, Steffen Löck

Thus, this perturbation chain may be used to assess feature robustness.

Translation

Image biomarker standardisation initiative

3 code implementations • 21 Dec 2016 • Alex Zwanenburg, Stefan Leger, Martin Vallières, Steffen Löck

The image biomarker standardisation initiative (IBSI) is an independent international collaboration which works towards standardising the extraction of image biomarkers from acquired imaging for the purpose of high-throughput quantitative image analysis (radiomics).